Abstract
Video synthetic aperture radar (ViSAR) as a new imaging mode has received more attention in recent years. In this mode, ViSAR system needs to persistently form a sequence of images while collecting data. For ViSAR, the frame rate needs to exceed 5 Hz to track maneuvering ground targets. Therefore, ViSAR system generally works in terahertz band. To avoid the 2-D interpolation of the polar format algorithm (PFA), a ViSAR imaging method is proposed in this paper. Based on the small synthetic angle characteristic of THz ViSAR, this method decomposes 2-D interpolation into range and azimuth interpolation, which is implemented by chirp Z-transform (CZT). The effectiveness of this method is validated by the simulation results in 0.3 THz.
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References
Song X, Yu W. Processing video-SAR data with the fast backprojection method. IEEE Trans Aerosp Electron Syst. 2016;52(6):2838–48.
Gorham LRA, Moore LJ. SAR image formation toolbox for MATLAB. In: Algorithms for synthetic aperture radar imagery XVII. International Society for Optics and Photonics; 2010, vol. 7699. p. 769906.
Zuo F, Li J. A persistent imaging method for video-SAR in terahertz band. In: 2017 International applied computational electromagnetics society symposium (ACES). IEEE; 2017. p. 1–2.
Jakowatz CVJ, Wahl DE, Eichel PH, et al. Spotlight-mode synthetic aperture radar: a signal processing approach: a signal processing approach. Springer Science & Business Media; 2012. p. 133–6.
Zhu D, Zhu Z. Range resampling in the polar format algorithm for spotlight SAR image formation using the chirp z-transform. IEEE Trans Signal Process. 2007;55(3):1011–23.
Doerry AW. Basics of polar-format algorithm for processing synthetic aperture radar images. Sandia National Laboratories report SAND2012-3369, Unlimited Release; 2012.
Garber WL, Hawley RW. Extensions to polar formatting with spatially variant post-filtering. In: Algorithms for synthetic aperture radar imagery XVIII. International Society for Optics and Photonics; 2011, vol. 8051. p. 805104.8.
Acknowledgments
This work was supported by the 2011 Project for Collaborative Innovation Center of Information Sensing and Understanding.
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Zuo, F., Li, J. (2020). A ViSAR Imaging Method for Terahertz Band Using Chirp Z-Transform. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_96
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DOI: https://doi.org/10.1007/978-981-13-6504-1_96
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